Marsh & Mclennan Companies (MRSH) EBITDA (2009 - 2026)
Marsh & Mclennan Companies (MRSH) posted EBITDA of $1.45 billion for Q3 2026, up 3.7% from $1.39 billion a year earlier but down 32.0% from the prior quarter.
Powered by 
Analysis
Marsh & Mclennan Companies (MRSH) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at Marsh & Mclennan Companies was $7 billion, down 0.4% year-over-year; for FY2025, it came in at $7.13 billion, up 8.7% from FY2024.
- Annual EBITDA has increased for three consecutive years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- In prior years, Marsh & Mclennan Companies' EBITDA was $6.56 billion in FY2024 (+9.5%), $6 billion in FY2023 (+19.9%), $5 billion in FY2022 (-1.2%) and $5.06 billion in FY2021 (+32.9%).
- Quarterly EBITDA has run from a low of $882 million in Q4 2022 to a high of $2.23 billion in Q1 2025 over five years.
- On a year-over-year basis, EBITDA increased in seven of the last eight quarters, with growth averaging 4.3%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2021, with growth of 52.2%; the weakest was Q4 2022, with a decline of 24.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $2.13 billion (Q2 2026), $1.98 billion (Q1 2026) and $1.45 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | - |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | 3.42 Bn |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 1.45 Bn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | 4.52 Bn |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 1.03 Bn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 1.03 Bn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | - |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 2.80 Bn |
| 10 | Aflac | 62.39 Bn | 38.74 Bn | 1.87 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.45 Bn |
| Jun 30, 2026 | 2.13 Bn |
| Mar 31, 2026 | 1.98 Bn |
| Dec 31, 2025 | 1.45 Bn |
| Sep 30, 2025 | 1.39 Bn |
| Jun 30, 2025 | 2.06 Bn |
| Mar 31, 2025 | 2.23 Bn |
| Dec 31, 2024 | 1.34 Bn |
| Sep 30, 2024 | 1.29 Bn |
| Jun 30, 2024 | 1.82 Bn |
| Mar 31, 2024 | 2.11 Bn |
| Dec 31, 2023 | 1.29 Bn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.64 Bn |
| Mar 31, 2023 | 1.90 Bn |
| Dec 31, 2022 | 882.00 Mn |
| Sep 30, 2022 | 960.00 Mn |
| Jun 30, 2022 | 1.53 Bn |
| Mar 31, 2022 | 1.63 Bn |
| Dec 31, 2021 | 1.16 Bn |
API Access
Marsh & Mclennan Companies EBITDA API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=ebitda&ticker=MRSH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "MRSH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=MRSH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();